Spatial Statistics for Data Science by Paula Moraga
Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. This book describes statistical methods, modeling approaches, and visualization techniques to analyze spatial data using R.-
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Models Demystified
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Why Data Science Projects Fail
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Data Science
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Practitioner's Guide to Data Science
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Practitioner’s Guide to Data Science
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Data Science in Practice
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"Spatial Statistics for Data Science: Theory and Practice with R is a well-crafted guide that explores visualization techniques and statistical methods, essential for analyzing spatial data using RThe book provides a detailed overview of typical types of spatial data and the R packages necessary for their retrieval, manipulation, and visualization. Then, it delves into the modeling and methodological aspects of spatial statistics while maintaining a focus on practical applications, demonstrated through fully reproducible examples using publicly accessible spatial data."
-Chae Young Lim in Journal of the American Statistical Association, October 2024
Paula Moraga is Professor of Statistics at King Abdullah University of Science and Technology (KAUST). She received her Master's in Biostatistics from Harvard University and her Ph.D. in Mathematics from the University of Valencia. Dr. Moraga develops innovative statistical methods and open-source software for spatial data analysis and health surveillance, including R packages for spatio-temporal modeling, detection of clusters, and travel-related spread of disease. Her work has directly informed strategic policy in reducing the burden of diseases such as malaria and cancer in several countries. Dr. Moraga has published extensively in leading journals, and serves as an Associate Editor of the Journal of the Royal Statistical Society Series A. She is the author of the book Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny (Chapman & Hall/CRC). Dr. Moraga received the prestigious Letten Prize for her pioneering research in disease surveillance, and her significant contributions to the development of sustainable solutions for health and environment globally.
| SKU | Unavailable |
| ISBN 13 | 9781032633510 |
| ISBN 10 | 1032633514 |
| Title | Spatial Statistics for Data Science |
| Author | Paula Moraga |
| Series | Chapman And Hall Crc Data Science Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Taylor & Francis Ltd |
| Year published | 2023-12-08 |
| Number of pages | 280 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |